Paper Info
Title
A hybrid auto-scaling technique for clouds processing applications with service level agreements.
Abstract
This research focuses on the automatic provisioning of cloud resources by an intermediary enterprise. This enterprise provides a virtual private cloud for a single client enterprise by using resources from a public cloud. The intermediary cloud provider is controlled by a broker that uses techniques to dynamically control the number of resources used by the client enterprise. The research presents a hybrid auto-scaling technique based on a combination of a reactive approach and a proactive approach to scale resources based on user demand. The primary goal of this auto-scaling technique is to achieve a profit for the intermediary enterprise while maintaining a desired grade of service for the client enterprise. The second goal of the technique is to reduce costs for the single client enterprise. The technique supports both on-demand requests and requests with service level agreements (SLAs). This paper describes the auto-scaling algorithms associated with the hybrid technique and includes a discussion of system design and implementation experience for a prototype system. A detailed performance analysis based on simulations and measurements made based on the prototype is presented.
Year
DOI
Venue
2017
10.1186/s13677-017-0100-5
J. Cloud Computing
Keywords
Field
DocType
Hybrid auto-scaling on clouds, Resource allocation, Dynamic resource provisioning, Scheduling with SLAs, Resource management on clouds, Machine learning
Cloud resources,Service level,Computer science,Systems design,Provisioning,Resource allocation,Scaling,Distributed computing,Cloud computing,Grade of service
Journal
Volume
Issue
ISSN
6
1
2192-113X
Citations 
PageRank 
References 
0
0.34
25
Authors
4
Name
Order
Citations
PageRank
Anshuman Biswas1212.84
Shikharesh Majumdar243575.95
Biswajit Nandy319221.75
El-Haraki, A.4183.55